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132
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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 8 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 8 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
115
Voted
IDA
2000
Springer
15 years 2 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
GBRPR
2007
Springer
15 years 8 months ago
Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone
Abstract. We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables....
Huiying Shen, James Coughlan
128
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KDD
2002
ACM
169views Data Mining» more  KDD 2002»
16 years 2 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims